2024
An application-based taxonomy for brain–computer interfaces
Nature Biomedical Engineering
2024
p. 1 – 3.DOI : https://doi.org/10.1038/s41551-024-01326-z
Neural decoding and feature selection methods for closed-loop control of avoidance behavior
Journal of Neural Engineering
2024
Vol. 21 , num. 5.DOI : 10.1088/1741-2552/ad8839
A 3 mm2, Energy-Efficient, Multi-Data-Rate, FDMA Transmitter with On-Chip Antenna for Next-Generation Neural Implants
2024 IEEE European Solid-State Electronics Research Conference (ESSERC)
2024
2024 IEEE European Solid-State Electronics Research Conference, Bruges, Belgium, 2024-09-09 – 2024-09-12.p. 97 – 100
DOI : 10.1109/ESSERC62670.2024.10719570
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
2024
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.A 49.8mm2 Fully Integrated, 1.5m Transmission-Range, High-Data-Rate IR-UWB Transmitter for Brain Implants
2024 IEEE Custom Integrated Circuits Conference (CICC)
2024
2024 IEEE Custom Integrated Circuits Conference (CICC), Denver, CO, USA, 2024-04-21 – 2024-04-24.p. 1 – 2
DOI : 10.1109/CICC60959.2024.10528987
Intelligent Neural Interfaces: An Emerging Era in Neurotechnology
2024 IEEE Custom Integrated Circuits Conference (CICC)
2024
2024 IEEE Custom Integrated Circuits Conference, Denver, USA, 2024-04-21.DOI : 10.1109/CICC60959.2024.10529099
A Hardware-Efficient EMG Decoder with an Attractor-based Neural Network for Next-Generation Hand Prostheses
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS) : Proceedings
2024
2024 IEEE 6th International Conference on AI Circuits and Systems, Abu Dhabi, United Arab Emirates, 2024-04-22 – 2024-04-25.p. 532 – 536
DOI : 10.1109/AICAS59952.2024.10595960
33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes
2024 IEEE International Solid-State Circuits Conference (ISSCC)
2024
International Solid-State Circuits Conference (ISSCC), San Francisco, CA, 2024-02-18 – 2024-02-22.p. 546 – 548
DOI : 10.1109/ISSCC49657.2024.10454533
A 2.46-mm2 Miniaturized Brain-Machine Interface (MiBMI) Enabling 31-Class Brain-to-Text Decoding
IEEE Journal of Solid-State Circuits
2024
Vol. 59 , num. 11, p. 3566 – 3579.DOI : 10.1109/JSSC.2024.3443254
Neurostimulation and Wireless Data Transmission Circuits for Implantable High-Density Neural Interfaces
Lausanne: EPFL2024
p. 138.DOI : 10.5075/epfl-thesis-11270
Method for Synthetic Generation of LFP Data for Testing of Feature Extraction Algorithms
2024
2023
From basic sciences and engineering to epileptology: A translational approach
Epilepsia
2023
DOI : 10.1111/epi.17566
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC
Ieee Solid-State Circuits Letters
2023
Vol. 6 , p. 21 – 24.DOI : 10.1109/LSSC.2023.3238797
XTab: Cross-table Pretraining for Tabular Transformers
ICML’23: Proceedings of the 40th International Conference on Machine Learning
2023
ICML’23: International Conference on Machine Learning, Honolulu, Hawaii, USA, July 23 – 29, 2023.DOI : 10.48550/arXiv.2305.06090
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings
2023
Next-Generation Closed-Loop Neural Interfaces: Circuit and AI-driven innovations
2023
A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications
2023
2022
Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study
Advanced Engineering Informatics
2022
Vol. 54 , p. 101718.DOI : 10.1016/j.aei.2022.101718
NeuralTree: A 256-Channel 0.227-mu J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC
Ieee Journal Of Solid-State Circuits
2022
DOI : 10.1109/JSSC.2022.3204508
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques
Journal Of Neural Engineering
2022
Vol. 19 , num. 1, p. 016037.DOI : 10.1088/1741-2552/ac4ed1
A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation
2022
2022 IEEE Custom Integrated Circuits Conference (CICC), Newport Beach, CA, USA, April 24-27, 2022.DOI : 10.1109/CICC53496.2022.9772806
Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs
2022 Ieee International Conference On Artificial Intelligence Circuits And Systems (Aicas 2022): Intelligent Technology In The Post-Pandemic Era
2022
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) – Intelligent Technology in the Post-Pandemic Era, Incheon, SOUTH KOREA, Jun 13-15, 2022.p. 190 – 193
DOI : 10.1109/AICAS54282.2022.9870008
Systems and methods for energy-efficient measurement of neurophysiological oscillations
Patent number(s) :
- US2024115863 (A1)
- US2024100337 (A1)
- EP4284250 (A1)
- EP4284494 (A1)
- WO2022164911 (A1)
- WO2022164912 (A1)
2022
An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces
2022
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, October 13-15, 2022.DOI : 10.1109/BioCAS54905.2022.9948602
2021
Editorial overview: Tissue, cell and pathway engineering: bioinspired, biomimetic and hybrid neural interfaces
Current Opinion In Biotechnology
2021
Vol. 72 , p. III – IV.DOI : 10.1016/j.copbio.2021.11.008
Neural interface systems with on-device computing: machine learning and neuromorphic architectures
Current Opinion In Biotechnology
2021
Vol. 72 , p. 95 – 101.DOI : 10.1016/j.copbio.2021.10.012
Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection
Ieee Transactions On Biomedical Circuits And Systems
2021
Vol. 15 , num. 5, p. 877 – 897.DOI : 10.1109/TBCAS.2021.3112756
Predicting task performance from biomarkers of mental fatigue in global brain activity
Journal Of Neural Engineering
2021
Vol. 18 , num. 3, p. 036001.DOI : 10.1088/1741-2552/abc529
A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials
Ieee Transactions On Circuits And Systems Ii-Express Briefs
2021
Vol. 68 , num. 5, p. 1720 – 1724.DOI : 10.1109/TCSII.2021.3066389
Tree in Tree: from Decision trees to Decision Graphs
2021
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection
2021 10Th International Ieee/Embs Conference On Neural Engineering (Ner)
2021
10th International IEEE-EMBS Conference on Neural Engineering (NER), Prague, ELECTR NETWORK, May 04-06, 2021.p. 181 – 184
DOI : 10.1109/NER49283.2021.9441235
An 8.7 mu J/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection
Ieee Asian Solid-State Circuits Conference (A-Sscc 2021)
2021
17th IEEE Asian Solid-State Circuits Conference (A-SSCC) – Integrated Circuits and Systems for the Connection of Intelligent Things, Busan, SOUTH KOREA, Nov 07-10, 2021.DOI : 10.1109/A-SSCC53895.2021.9634763
2020
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification
IEEE Transactions on Biomedical Circuits and Systems
2020
Vol. 14 , num. 4, p. 692 – 704.DOI : 10.1109/TBCAS.2020.3004544
Mental Fatigue Prediction from Multi-Channel ECOG Signal
ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020
45th International Conference on Acoustics, Speech, and Signal Processing – ICASSP 2020, Barcelona, Spain, 2020-05-04 – 2020-05-08.p. 1259 – 1263
DOI : 10.1109/ICASSP40776.2020.9053358
Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering
Clinical Neurophysiology
2020
Vol. 131 , num. 1, p. 274 – 284.DOI : 10.1016/j.clinph.2019.09.021
Closed-Loop Neural Interfaces with Embedded Machine Learning
2020 27Th Ieee International Conference On Electronics, Circuits And Systems (Icecs)
2020
27th IEEE International Conference on Electronics, Circuits and Systems (IEEE ICECS), ELECTR NETWORK, Nov 23-25, 2020.DOI : 10.1109/ICECS49266.2020.9294844
2019
Hardware-Efficient Seizure Detection
Conference Record of the Fifty-Third Asilomar Conference on Signals, Systems & Computers
2019
53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, US, 2019-11-03 – 2029-11-06.DOI : 10.1109/IEEECONF44664.2019.9049047
Enhanced Classification of Individual Finger Movements with ECoG
2019 53rd Asilomar Conference on Signals, Systems, and Computers
2019
53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, US, 2019-11-03 – 2029-11-06.p. 2063 – 2066
DOI : 10.1109/IEEECONF44664.2019.9048649
Cost-Efficient Classification for Neurological Disease Detection
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2019
BioCAS 2019, Nara, Japan, 2019-10-17 – 2019-10-19.p. 1 – 4
DOI : 10.1109/BIOCAS.2019.8918702
Hardware Complexity Analysis of Deep Neural Networks and Decision Tree Ensembles for Real-time Neural Data Classification
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
2019
9th International IEEE/EMBS Conference on Neural Engineering (NER 2019), San Francisco, USA, 2019-03-20 – 2019-03-23.p. 407 – 410
DOI : 10.1109/NER.2019.8716983
Migraine classification using somatosensory evoked potentials
Cephalalgia
2019
Vol. 39 , num. 9, p. 1143 – 1155.DOI : 10.1177/0333102419839975
Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity
NeuroImage
2019
Vol. 192 , p. 1 – 14.DOI : 10.1016/j.neuroimage.2019.02.070
2018
Resting Tremor Detection in Parkinson’s Disease with Machine Learning and Kalman Filtering
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2018
IEEE Biomedical Circuits and Systems Conference (BioCAS) – Advanced Systems for Enhancing Human Health, Cleveland, OH, US, 2018-10-17 – 2018-10-19.DOI : 10.1109/BIOCAS.2018.8584721
Towards Adaptive Deep Brain Stimulation in Parkinson’S Disease: Lfp-Based Feature Analysis and Classification
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2018
International Conference on Acoustics Speech and Signal Processing, Calgary, Canada, 2018-04-15 – 2018-04-20.p. 2536 – 2540
DOI : 10.1109/ICASSP.2018.8462472
A 41.2 nJ/class, 32-Channel On-Chip Classifier for Epileptic Seizure Detection
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2018
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018-07-18 – 2018-07-21.p. 3693 – 3696
DOI : 10.1109/EMBC.2018.8513243
Energy-Efficient Classification for Resource-Constrained Biomedical Applications
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
2018
Vol. 8 , num. 4, p. 693 – 707.DOI : 10.1109/JETCAS.2018.2844733
Efficient Feature Extraction and Classification Methods in Neural Interfaces
Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium; Washington: National Academies Press, 2018.ISBN : 978-0-309-46604-2
Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants
IEEE Transactions on Circuits and Systems I-Regular Papers
2018
1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, Italy, September 02-03, 2018.p. 3929 – 3941
DOI : 10.1109/TCSI.2018.2853983
2016
Hardware-Friendly Seizure Detection with a Boosted Ensemble of Shallow Decision Trees
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2016
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, USA, 2016-08-16 – 2016-08-20.p. 1826 – 1829
DOI : 10.1109/EMBC.2016.7591074
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition
2016 International Great Lakes Symposium On Vlsi (Glsvlsi)
2016
26th edition of GLSVLSI, Boston, USA, May 18-20, 2016.p. 433 – 438
DOI : 10.1145/2902961.2903028
A 16-Channel 1.1mm2 Implantable Seizure Control SoC with Sub-μW/Channel Consumption and Closed-Loop Stimulation in 0.18μm CMOS
Proceedings of the 2016 Symposium on VLSI Circuits
2016
2016 Symposium on VLSI Circuits, Honolulu, Hawaii, USA, June 13-17, 2016.DOI : 10.1109/VLSIC.2016.7573557
2015
A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection
IEEE Transactions on Circuits and Systems II: Express Briefs
2015
Vol. 62 , num. 2, p. 114 – 118.DOI : 10.1109/TCSII.2014.2387652
Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits
IEEE Transactions on Circuits and Systems I: Regular Papers
2015
Vol. 62 , num. 2, p. 458 – 467.DOI : 10.1109/TCSI.2014.2364101
Structured Sampling and Recovery of iEEG Signals
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
2015
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015.p. 269 – 272
DOI : 10.1109/CAMSAP.2015.7383788
Jitter Analysis and Measurement in Subthreshold Source-Coupled Differential Ring Oscillators
2015 IEEE International Symposium on Circuits and Systems (ISCAS)
2015
2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, May 24-27, 2015.p. 157 – 160
DOI : 10.1109/ISCAS.2015.7168594
2014
In-Vivo Validation of a Compact Inductively-Powered Neural Recording Interface
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings
2014
IEEE Biomedical Circuits and Systems Conference (BioCAS).p. 360 – 363
DOI : 10.1109/BioCAS.2014.6981737
Tunnel FET-Based Ultra-Low Power, Low-Noise Amplifier Design for Bio-signal Acquisition
2014
International Symposium on Low Power Electronics and Design, La Jolla, CA, USA,Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition
IEEE Transactions on Biomedical Circuits and Systems
2014
Vol. 8 , num. 6, p. 857 – 870.DOI : 10.1109/TBCAS.2014.2304582
A Novel Compressive Sensing Architecture for High-Density Biological Signal Recording
2014
IEEE Biomedical Circuits and Systems Conference (BioCAS).DOI : 10.1109/BioCAS.2014.6981633
2013
Compressive Multichannel Cortical Signal Recording
2013 IEEE International Conference On Acoustics, Speech And Signal Processing (ICASSP)
2013
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.p. 4305 – 4309
DOI : 10.1109/ICASSP.2013.6638472
A Low-Power Area-Efficient Compressive Sensing Approach for Multi-Channel Neural Recording
Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)
2013
IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, May 19-23, 2013.p. 2191 – 2194
DOI : 10.1109/ISCAS.2013.6572310
2012
The Future of Intracranial EEG Recording in Epilepsy: a Technological Issue?
Epileptologie
2012
Vol. 29 , p. 114 – 119.Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2012
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, California, USA, 2012.p. 5150 – 5153
DOI : 10.1109/EMBC.2012.6347153
Book Chapters and Patents:
Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, Azita Emami, “Efficient Feature Extraction and Classification Methods in Neural Interfaces,” Chapter in Frontiers of Engineering: Reports on Leading-Edge Engineering, the National Academy Press, 2017
Mahsa Shoaran and Alexandre Schmid, “A Power-Efficient Compressive Sensing Platform for Cortical Implants,” Chapter in Advances in Analog Circuit Design, edited by Kofi Makinwa, Andrea Baschirott, and Pieter Harpe, Springer, 2016
Mahsa Shoaran, Mahdad Hosseini Kamal, Alexandre Schmid, “Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition,” US Patent, P2763US00
Huichu Liu, Ramesh Vaddi, Vijaykrishnan Narayanan, Suman Datta, Moon Seok Kim, Xueqing Li, Alexandre Schmid, Mahsa Shoaran, Unsuk Heo, “Low Power Nanoelectronics,” US Patent 20150333534